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Showing result 1 - 5 of 31 essays matching the above criteria.
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1. Demand Forecasting of Automobile Spare Parts after the End-of-Production - A review of demand forecasting models
University essay from Göteborgs universitet/Graduate SchoolAbstract : Demand forecasting of spare parts plays a crucial role in automobile industry where it generally requires a significant attention in controlling inventory. It is possible to maintain an optimal stock level when there is a continues supply at the Original Equipment Manufacturers (OEMs). READ MORE
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2. Forecasting Volatility of Ether- An empirical evaluation of volatility models and their capacity to forecast one-day-ahead volatility of Ether
University essay from Göteborgs universitet/Graduate SchoolAbstract : This study evaluates the performance of volatility models in forecasting one-day-ahead volatility of the cryptocurrency Ether. The selected models are: GARCH, EGARCH, GJR-GARCH, SMA9, SMA20, and EWMA. We investigate both in-sample performance and out-of-sample performance. READ MORE
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3. Control charts for statistical quality control of Swedish stroke care using Riksstroke data
University essay from Umeå universitet/StatistikAbstract : The aim of this study was to implement statistical quality control to stroke care in Sweden by designing control charts for data from the Riksstroke registry to detect potential unnatural, or special cause variation in the years 2019-2020. Suitable control charts were designed for three quality indicators: the time elapsed from hospital admission to receiving reperfusion therapy (door-to-needle time), the proportion of patients directly admitted to stroke unit, and the fatality rate. READ MORE
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4. Risk measurement of cryptocurrencies using value at risk and expected shortfall
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : Cryptocurrencies are highly volatile and risky assets, therefore, it is of vital importance to find an appropriate model for risk measurement. This thesis compares three parametric and three non-parametric estimation methods to estimate the value at risk and the expected shortfall of five cryptocurrencies, namely Bitcoin (BTC), Ethereum (ETH), Binance coin (BNB), Ripple coin (XRP), and Cardano (ADA). READ MORE
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5. Considering Tail Events in Hedge Fund Portfolio Optimization
University essay from Linköpings universitet/ProduktionsekonomiAbstract : The Fourth Swedish National Pension Fund (AP4), as well as many other large investors, has noted deficiencies the Mean-Variance framework for portfolio management of asset with non-normal characteristics. The main problem apparent in the Mean-Variance framework, when investing in alternative assets such as hedge funds, is the lacking systematic control of the balance between the measurements of risk due normal variation and tail-risk. READ MORE